

When you transpose the idea to the business world, how do you keep collecting more and more data if you don’t consider new storage solutions and database architecture modernisation in the process ?




Why is data mapping so essential ?


  • Master your data
  • Increase data quality
  • Evaluate risks / costs

These elements are clearly essential and justify the necessity of the task, but there is one other reason – and a major one – that should not be neglected since every kind of organisation is concerned, from the smallest SME to the multinational, including webstores and collectivities : namely the General Data Protection Regulation (GDPR).


We previously addressed the requirements linked to the processing and the involved roles inside the organisations. It would indeed be difficult to imagine how you could respond properly to GDPR compliance (or any other data protection regulation) when you don’t first have a perfect knowledge of your information system’s contents (the famous « what », « how » and « where » precept).

In conclusion


If the architecture of the information system is solidified in this way, it will then be easier to enlarge its initial structure without risking that everything collapses (or becomes a dead end for data, therefore making them useless).

Liberate and master all of your data

DataSemantics supports you in taking back control of all of your data. The reverse engineering technology at the heart of the tool drastically speeds up a variety of data projects. The software liberates known and unknown data and makes them accessible to information systems. It enables organisations to fully master information assets, limit risks and make better strategic decisions.